Reducing costs, improving quality, shortening the time-to-market, and at the same time act and think sus-tainable are major challenges for manufacturing industries. To strive towards these objectives, discrete event simulation (DES) has proven to be an effective tool for production system decision support. Large companies continuously log raw data, and are therefore able to collect large quantities of re-source event information. However, usually it is difficult to reuse data for future DES projects. Thus, the aim of this paper is to describe how to facilitate data sharing between data sources and DES models. A test implementation of a simulation data architecture has been realized. A data processing tool, a database and an interface were created, which provide reusable resource event data to pave the way for sustainable resource information in DES projects. The entirety data exchange is provided by standard XML documents following the latest Core Manufacturing Simulation Data recommendations.

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BibTeX @conference{Paju2010,author={Paju, Marja and Heilala, Juhani and Hentula, Markku and Heikkilä, Antti and Johansson, Björn and Leong, Swee and Lyons, Kevin},title={Framework and Indicators for a Sustainable Manufacturing Mapping Methodology},booktitle={Proceedings of the 2010 Winter Simulation Conference},isbn={978-1-4244-9864-2},pages={3411-3422},abstract={Reducing costs, improving quality, shortening the time-to-market, and at the same time act and think sus-tainable are major challenges for manufacturing industries. To strive towards these objectives, discrete event simulation (DES) has proven to be an effective tool for production system decision support. Large companies continuously log raw data, and are therefore able to collect large quantities of re-source event information. However, usually it is difficult to reuse data for future DES projects. Thus, the aim of this paper is to describe how to facilitate data sharing between data sources and DES models. A test implementation of a simulation data architecture has been realized. A data processing tool, a database and an interface were created, which provide reusable resource event data to pave the way for sustainable resource information in DES projects. The entirety data exchange is provided by standard XML documents following the latest Core Manufacturing Simulation Data recommendations.},year={2010},keywords={discrete event simulation, value stream mapping, Sustainable Manufacturing, life cycle assessment},}

RefWorks RT Conference ProceedingsSR ElectronicID 133013A1 Paju, MarjaA1 Heilala, JuhaniA1 Hentula, MarkkuA1 Heikkilä, AnttiA1 Johansson, BjörnA1 Leong, SweeA1 Lyons, KevinT1 Framework and Indicators for a Sustainable Manufacturing Mapping MethodologyYR 2010T2 Proceedings of the 2010 Winter Simulation ConferenceSN 978-1-4244-9864-2SP 3411OP 3422AB Reducing costs, improving quality, shortening the time-to-market, and at the same time act and think sus-tainable are major challenges for manufacturing industries. To strive towards these objectives, discrete event simulation (DES) has proven to be an effective tool for production system decision support. Large companies continuously log raw data, and are therefore able to collect large quantities of re-source event information. However, usually it is difficult to reuse data for future DES projects. Thus, the aim of this paper is to describe how to facilitate data sharing between data sources and DES models. A test implementation of a simulation data architecture has been realized. A data processing tool, a database and an interface were created, which provide reusable resource event data to pave the way for sustainable resource information in DES projects. The entirety data exchange is provided by standard XML documents following the latest Core Manufacturing Simulation Data recommendations.LA engLK http://www.informs-sim.org/wsc10papers/315.pdfLK http://publications.lib.chalmers.se/records/fulltext/133013/local_133013.pdfOL 30